
from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


UpperCAmelCase       =					{'''configuration_vit_msn''': ['''VIT_MSN_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''ViTMSNConfig''']}

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	UpperCAmelCase       =					[
	    '''VIT_MSN_PRETRAINED_MODEL_ARCHIVE_LIST''',
	    '''ViTMSNModel''',
	    '''ViTMSNForImageClassification''',
	    '''ViTMSNPreTrainedModel''',
	]

if TYPE_CHECKING:
	from .configuration_vit_msn import VIT_MSN_PRETRAINED_CONFIG_ARCHIVE_MAP, ViTMSNConfig

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_vit_msn import (
		    VIT_MSN_PRETRAINED_MODEL_ARCHIVE_LIST,
		    ViTMSNForImageClassification,
		    ViTMSNModel,
		    ViTMSNPreTrainedModel,
		)

else:
	import sys

	UpperCAmelCase       =					_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)


"""simple docstring"""


def      lowerCamelCase_					(   __lowerCAmelCase							)				->   int:




						'''simple docstring'''



						if not isinstance(__lowerCAmelCase  ,       __lowerCAmelCase							):
												raise TypeError("only integers accepted as input"							)
						else:
												lowerCamelCase__   =str(abs(__lowerCAmelCase							)							)
												lowerCamelCase__   =[list(__lowerCAmelCase							) for char in range(len(__lowerCAmelCase							)							)]
												for index in range(len(__lowerCAmelCase							)							):
																		num_transpositions[index].pop(__lowerCAmelCase							)
												return max(
												    int("".join(list(__lowerCAmelCase							)							)							) for transposition in num_transpositions							)


if __name__ == "__main__":
	__import__('doctest').testmod()


